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Nonparametric hazard estimation under random censoring and dependent data

Abdelmalek Gagui

Journal of Statistical Research2026https://doi.org/10.3329/jsr.v59i2.88069article
ABDC C
Weight
0.50

What the paper says

This paper investigates the conditional hazard function of a scalar response variable given a predictor that takes values in a semi-metric space. We employ a local linear estimator for the conditional density and cumulative distribution function, and establish almost sure convergence rates under α-mixing dependence. The analysis is conducted under a set of regularity conditions for the proposed estimator. Furthermore, the practical relevance of the theoretical results is demonstrated through a simulation study. Journal of Statistical Research 2025, Vol. 59, No. 2, pp. 259-278

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https://doi.org/https://doi.org/10.3329/jsr.v59i2.88069

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@article{abdelmalek2026,
  title        = {{Nonparametric hazard estimation under random censoring and dependent data}},
  author       = {Abdelmalek Gagui},
  journal      = {Journal of Statistical Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.3329/jsr.v59i2.88069},
}

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Nonparametric hazard estimation under random censoring and dependent data

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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